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Data-Driven Gene Regulatory Network Inference

Project description

GReNaDIne: Gene Regulatory Network Data-driven Inference

This Python 3.7 package allows to infer Gene Regulatory Networks through several Data-driven methods. Pre-processing and evaluation methods are also included.

Installation:

pip install GReNaDIne

Tutorials:

Check the jupyter notebook tutorials located in the tutorial folder

  • Infer_dream5_E_coli_GRN_using_GENIE3.ipynb to infer GRNs using the GENIE3 method (random forest regression)
  • Infer_dream5_E_coli_GRN_using_SVMs.ipynb to infer GRNs using the SVM method (SVM classification)

Authors:

For bug reports and feedback do not hesitate to contact the authors

Maintainer:

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